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Internet Services, Software, AI, Cloud Computing, Hardware

ASIC Design Verification Engineer, TPU Compute

Sunnyvale, CAOnsiteFull Time$138,000–$197,000 /yrPosted 2 months agoVisa sponsorship available

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Required skills

  • ASIC
  • TPU
  • Compute
  • SystemVerilog
  • UVM
  • RTL
  • digital logic
  • coverage measures
  • tape-out

Nice to have

  • AI/ML
  • computer architecture
  • SoC projects
  • compute IPs
  • silicon-based ICs
  • chips

Role summary

This role is for an ASIC Design Verification Engineer focused on TPU Compute, contributing to AI/ML hardware acceleration. The engineer will verify complex digital designs, specifically TPU architecture and its integration within AI/ML systems, for data center accelerators. Responsibilities include planning verification, creating SystemVerilog/UVM environments, identifying coverage measures, debugging, and ensuring functional correctness for tape-out. The position offers an opportunity to shape cutting-edge TPU technology powering Google's AI/ML applications.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 4 years of experience with design verification.
  • Experience in verifying digital logic at RTL using SystemVerilog/UVM for ASICs.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • 6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
  • Experience with three or more SoC projects/cycles.
  • Experience verifying compute IPs.
  • Strong problem-solving, and communication skills, with the ability to work effectively in a team environment.

About the job:

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

As an ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design verification and silicon bring-up. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
  • Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM).
  • Identify and write all types of coverage measures for stimulus and corner-cases.
  • Debug tests with design engineers to deliver functionally correct design blocks.
  • Close coverage measures to identify verification holes and to show progress towards tape-out.
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